AI/ML Technologist

Intel; Bengaluru; On-site; INR 2,000,000 - 4,000,000; Full time

Job summary

Intel is seeking a seasoned professional with extensive experience in Machine Learning and AI systems. The ideal candidate will have a strong background in Python programming and a deep understanding of machine learning techniques.

Applicants should hold a Bachelor’s or Master’s degree in Computer Science or related fields and have proven knowledge in deploying high-scale AI systems. Familiarity with Docker and Kubernetes is preferred.

Qualifications

• 12+ years of experience with a Bachelor's degree in relevant technical fields.
• 10+ years of experience with a Master's degree in relevant technical fields.
• Strong knowledge of asynchronous systems programming.

Skills

Strong programming skills in Python

Machine Learning techniques

Deep Learning algorithms

Experience with SQL

Familiarity with Docker and Kubernetes

Education

Bachelor degree in relevant field with 12+ years of experience

Master degree in relevant field with 10+ years of experience

Tools

SQL

MongoDB

Elastic Search

Graph DB

Job description

Qualifications

Minimum Qualifications Bachelor degree with 12+ years or Master degree with 10+ years in any of the following field: Computer Science or Data Science and Engineering, Electronics or Electrical Engineering, Applied mathematics, or related technical disciplines.

Skills: Strong programming skills in Python, with the capability to debug complex asynchronous systems.

Machine Learning Expertise: In-depth knowledge of machine learning techniques, including regression, classification, LDA, Naive Bayes, Logistic Regression, and SVM.

Deep Learning and Generative AI:

• Solid understanding of ML/DL techniques, algorithms, and tools. Experience with CNN, RNN (LSTM), and Transformers (BERT, BART, GPT/T5, Megatron, LLMs).
• Practical experience with Retrieval-Augmented Generation (RAG) and LLM-based applications.
• Familiarity with LLM function calling, Information Retrieval, Vector Databases, Embedding, and Re rank models.
• Hands-on experience with large language model (LLM) agentic pipelines.
• Knowledge of various prompt techniques, including zero-shot, few-shot, Chain-of-Thought, Tree-of-Thought, and React. Database and Tools:
• Experience with database and tools such as SQL, MongoDB, Graph DB, and Elastic Search in native AI applications.

ML Ops:

• Proven experience in deploying and maintaining high-scale AI-based systems.
• Understanding of scalable deployment of multiple microservices involving LLM-driven RAG and Agent applications in a production environment.
• Familiarity with Docker, Helm, Kubernetes, etc.
• Experience with the end-to-end software lifecycle, release packaging, and CI/CD pipeline.

Preferred Skills:

Good understanding of Computer Architecture and x86 architecture. Experienced in Platform Software Development and Validation.

Behavioral traits: Excellent written and oral communication skills.Be able to clearly communicate technical details and concept.